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» Evolutionary computation: a unified approach
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CORR
2004
Springer
106views Education» more  CORR 2004»
14 years 9 months ago
Intelligent Systems: Architectures and Perspectives
: The integration of different learning and adaptation techniques to overcome individual limitations and to achieve synergetic effects through the hybridization or fusion of these ...
Ajith Abraham
FGCS
2010
119views more  FGCS 2010»
14 years 8 months ago
Characterizing fault tolerance in genetic programming
Evolutionary Algorithms, including Genetic Programming (GP), are frequently employed to solve difficult real-life problems, which can require up to days or months of computation. ...
Daniel Lombraña Gonzalez, Francisco Fern&aa...
ICCV
2007
IEEE
15 years 11 months ago
Gradient Feature Selection for Online Boosting
Boosting has been widely applied in computer vision, especially after Viola and Jones's seminal work [23]. The marriage of rectangular features and integral-imageenabled fast...
Ting Yu, Xiaoming Liu 0002
SIGCSE
2008
ACM
143views Education» more  SIGCSE 2008»
14 years 9 months ago
Test-driven learning in early programming courses
Coercing new programmers to adopt disciplined development practices such as thorough unit testing is a challenging endeavor. Test-driven development (TDD) has been proposed as a s...
David Janzen, Hossein Saiedian
87
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ICCAD
2006
IEEE
108views Hardware» more  ICCAD 2006»
15 years 6 months ago
Soft error reduction in combinational logic using gate resizing and flipflop selection
Soft errors in logic are emerging as a significant reliability problem for VLSI designs. This paper presents novel circuit optimization techniques to mitigate soft error rates (SE...
Rajeev R. Rao, David Blaauw, Dennis Sylvester